This transdisciplinary research investigates the general patterns of
external vibrational frequencies that extend beyond the Conscious and
Subconscious Components. Through a prospective observational study, it explores
how instance source codes within these components encapsulate, synchronize, and
execute before shaping a Decision-Making Map and influencing social behaviors
within environmental contexts.
An experimental study employs the black box testing method to examine
instance source codes beyond the logical aspects of the Conscious Component.
The study leverages fundamental principles of artificial intelligence through
systems theory to evaluate the reliability of these source codes.
The brain mechanism framework processes incoming data streams (external
input) from environmental contexts through various sensory channels. These
inputs are processed sequentially through the Instinct Component, Memory
Component, Superego/Ego, and the Logical part of the Conscious Component.
Finally, the Conscious Compiler executes the processed data, generating the
Decision-Making Map as an output.
Inputs of Subconscious Mechanism
Algorithmic sequential parameters, beyond the frequency of the social
domain, are articulated and released into actions through multiple actors,
among others, by Systems Owners. The brain absorbs these sequential parameters
from social contexts through various sensory channels.
Algorithmic frequencies and electrical signals (codes) travel via the
optic nerve and the Centralized Nervous System, carrying information to the
brain. Brain inputs are accumulated data sets processed through the brain’s
sensory mechanisms.
The subconscious mechanism operates as a regulated process in which brain
inputs modify a collection of algorithmic codes. These modifications are
transmitted to the conscious mechanism through chemical signal processing.
Alterations can impact the following functional algorithmic codes within the
Subconscious/Conscious Components:
1-The Instinct Component: Preprogrammed algorithmic
codes encapsulate beyond instincts in the conceptual component.
2-Dialogue between Superego and Ego: Shifting the harmonic balance between the two modes.
3-Conscious Component: Harmonic balance in the
domain of logical data.
Brain inputs adjust the Instinct Component, leading to new active or
inactive modes. Modifications within the Instinct Component can initiate an
open-loop cycle for distinct instincts, setting the system into a processing
mode that seeks closed-loop stability within a specific time interval.
A prolonged delay in the feedback loop within a single instance may
result in an Old Open-loop Condition, where outdated reference codes
(Ref-Codes) compile in the Instinct and Memory Components. The domain of the
old open loop cycle of instinct is a starvation mode or deadlock character for
instinct.
The
persistence of an Old Open-loop Instinct can lead to a self-perpetuating cycle
driven by either the complexity of instinctual operations or the intricate
relationship between the Superego and Ego framework.
Observations
1. Brain Structure and Functional Focus
The functional human brain is conceptually divided into two main
sections:
1.1-Electrochemical Circuits (Brain Software) represent an instance of
the Conscious Component.
1.2-Biological Structure (Brain Hardware) represents the physical body,
which was eliminated during the research project.
1.3- This study exclusively focuses on the Electrochemical Part of the
Brain framework, examining its logical inferences and preprocessing mechanisms
within the Conscious/ Subconscious Components.
2. Decision-Making and Harmonic Balance
2.1-Source Code 3 undergoes processing through Conscious Mechanisms only
when a Harmonic Balance exists between the Superego and Ego.
2.2-If Harmonic Balance is absent, the Decision-Making Map remains under
the control of the Subconscious Component.
2.3-Optimal Decision-Making is achieved when Source Code 3 is allocated
efficiently within the Logical Data of the Conscious Component.
3. Role of the Centralized Nervous System
3.1-The Centralized Nervous System is a coordinating entity managing the
transition of Source Codes between the Conscious/ Subconscious Components and
the Brain structure.
4. The Activation of the Forgiveness Instinct
4.1-A stable Harmonic Balance in the Conscious Component can stimulate
and activate the Forgiveness Instinct within the Subconscious Component.
4.2-Activation of the Forgiveness Instinct triggers other associated
instincts within the Subconscious Component, including:
4.2.1-The Compassionate Instinct.
4.2.2- The Self-Awareness Instinct.
5. The Impact of Old Open Loops on Decision-Making
5.1-Multiple Old Open-Loops can reduce Harmonic Balance within the
Subconscious Component.
5.2-Low Harmonic Balance negatively affects:
5.2.1-Decision-Making Models
5.2.2-Social Behavior Patterns
6. The Formation of Beliefs and Perceptions
6.1-Beliefs emerge from a strong Superego Adjuster/Superego framework.
6.2-The instance parameter of Belief influences:
6.2.1-Logical Inferences are allocated within the Component of Data
Analysis.
6.2.2-Decision-Making Patterns.
6.3-Beliefs as a submodule in the Subconscious Component are encoded in
the Memory Component through Instance Inferences within the Logical Data of the
Conscious Component.
6.4-Perceptions arise from the interaction between Social Contexts and the
Brain Sensory Components.
6.5-Perceptions are stored as codes in the Memory Component via Instance
Inference within the Superego/Ego framework.
7. The Energetic Instinct and Social Behavior Regulation
7.1-The Energetic Instinct modulate is an instance of the Ego/Superego
framework, exerting control over algorithmic patterns within the following unit:
7.1.1-Decision-Making Map.
8. Goodwill and Decision-Making Patterns
8.1-Optimal Harmonic Balance in the Conscious Component can facilitate
and simplify the execution of Source Code 3.
8.2-Goodwill is added as an Instance Parameter in the Decision-Making
Map.
9. Consistency in Social Behaviors and System Operations
9.1-Genuine Consistency Indicates a harmonic balance within a designated Biological/
Non-Biological Systems:
9.1.2-Social Behavior refers to harmonic balance within the Conscious
Component.
9.1.3-System operations refer to harmonic balance within design structure/
blueprints.
9.1.4-Organizational Structures refer to strategic protocols beyond
system performances.
9.1.5 Interpersonal dynamics refers to harmonic balance when treating
internal and external resources.
9.2-inconsistencies suggest a complicated algorithmic code within global
variables and in the system platform,
which generate the following complexities:
9.2.1-Low Harmonic Balance in Operational Domains.
9.2.2-Complexity within System Allocation Resources.
10. Brain Activity and Sleep Cycles
10.1-During sleep, the following brain components may become
inactive:
10.1.1-Old Open-Loops.
10.1.2-Perceptions.
10.1.3-Intuitions.
10.1.4-Opinions.
10.1.5-Beliefs
11.1-External Forces and Internal Attributes shape Quantum Consciousness
within the Conscious and Subconscious Components.
11.2-These elements continuously modify one another, leading to
alterations in:
11.2.1-Consciousness properties can change.
11.2.2-Instance properties of the Brain Mechanisms may alter the physical
body.
11.2.3-Social Contexts would generate complexity among Biological
Systems.
11.2.4-Unique social context properties further adjust external forces
and internal attributes, ensuring the perpetual evolution of properties in
subsequent cycles.
Observation:
1-Belief codes within the Memory Component (Primary Storage) remain
active.
2-The Belief system, active Instance Ref-Codes can reactivate and
instantiate the above components upon waking.
3-If active components persist during sleep, they may interrupt sleep
quality, as brain resources require optimization tasks while most other
resources are inactive.
Observation:
This study's
graphics show the flow of algorithmic codes of quantum consciousness, which systems
owners initiate.
Conclusion:
The paradox of attributes in Quantum Consciousness, within
environmental contexts, plays a pivotal role in shaping the manifestation of
emotional experiences throughout life’s evolutionary journey. An observational
study suggests that activating the Network of Competitive Instincts within Conscious/
Subconscious Components of influential decision-makers can entangle hidden
algorithmic codes embedded in hierarchical layers, potentially leading to
profound confusion and disruption in the extended continuation of Global Quantum
Consciousness.
Two essential factors influence the algorithmic nature of Global
Quantum Consciousness. The first is the number of Conscious Components engaged
in quantum entanglement throughout the universe. The second is the degree of
value discrepancy among these Conscious Components; a higher level of
contradiction suggests the presence of unresolved open-loop cycles within
decision-making maps. Conversely, a more remarkable similarity in algorithmic
codes beyond individual Conscious Components signifies a state of harmonic
balance, both among the Conscious Components themselves and within the entirety
of Global Quantum Consciousness.
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